References

Class Summary

Static Public Class Summary
public	Complex
public	Sparse

Function Summary

Static Public Function Summary
public	abs(m: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise Math.abs(x)
public	acos(m: Number \| Array \| Sparse): Number \| Array \| Sparse Pointwise Math.acos(x)
public	add(m1: Number \| Array \| Complex \| Sparse, m2: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise add
public	and(m1: Number \| Array \| Complex \| Sparse, m2: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise and
public	asin(m: Number \| Array \| Sparse): Number \| Array \| Sparse Pointwise Math.asin(x)
public	atan(m: Number \| Array \| Sparse): Number \| Array \| Sparse Pointwise Math.atan(x)
public	atan2(m1: Number \| Array \| Complex \| Sparse, m2: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise Math.atan2(x, y)
public	band(m1: Number \| Array \| Complex \| Sparse, m2: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise band
public	bnot(m: Number \| Array \| Sparse): Number \| Array \| Sparse Pointwise Math.bnot(x)
public	bor(m1: Number \| Array \| Sparse, m2: Number \| Array \| Sparse): Number \| Array \| Sparse Pointwise bor
public	bxor(m1: Number \| Array \| Sparse, m2: Number \| Array \| Sparse): Number \| Array \| Sparse Pointwise bxor
public	ceil(m: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise Math.ceil(x)
public	clone(m: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise clone(x)
public	cos(m: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise Math.cos(x)
public	det(x: Array): Number Determinant of matix
public	diag(d: Array): Array Create diagonal matrix from vector
public	dim(x: Array): Array Get Array dimensions
public	div(m1: Number \| Array \| Complex \| Sparse, m2: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise div
public	dot(x: Array \| Number, y: Array \| Number): Array \| Number
public	eig(A: any, maxiter: any): * Eigenvalues of real matrices
public	eq(m1: Number \| Array \| Complex \| Sparse, m2: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise eq
public	exp(m: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise Math.exp(x)
public	fft(m: any): * Fast Fourier transform
public	floor(m: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise Math.floor(x)
public	geq(m1: Number \| Array \| Complex \| Sparse, m2: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise geq
public	getBlock(x: Array, from: Array, to: Array): Array Extract a block from a matrix
public	getDiag(A: Array): Array `Get the diagonal of a matrix`
public	gt(m1: Number \| Array \| Complex \| Sparse, m2: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise gt
public	identity(n: Number): Array Generate identity matrix of given size
public	ifft(m: any): * Inverse FFT
public	inv(x: Array): Array Inverse of an matrix
public	leq(m1: Number \| Array \| Complex \| Sparse, m2: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise leq
public	linspace(a: Number, b: Number, n: Number): Array Generate evenly spaced values
public	log(m: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise Math.log(x)
public	lshift(m1: Number \| Array \| Complex \| Sparse, m2: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise lshift
public	lt(m1: Number \| Array \| Complex \| Sparse, m2: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise lt
public	mod(m1: Number \| Array \| Complex \| Sparse, m2: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise mod
public	mul(m1: Number \| Array \| Complex \| Sparse \| Object, m2: Number \| Array \| Complex \| Sparse \| Object): Number \| Array \| Complex \| Sparse Pointwise mul
public	neg(m: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise Math.neg(x)
public	negtranspose(x: any): * neg transpose
public	neq(m1: Number \| Array \| Complex \| Sparse, m2: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise neq
public	norm2(x: Array \| Number): Number Square root of the sum of the squares of the entries of x
public	not(m: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise Math.not(x)
public	nrom2Squared(x: Array \| Number): Number Sum of the squares of the entries of x
public	or(m1: Number \| Array \| Complex \| Sparse, m2: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise or
public	pointwise(fun: Function): Function Create a pointwise function
public	pointwise2(fun: Function): Function Create a pointwise function of two arguments
public	pow(m1: Number \| Array \| Complex \| Sparse, m2: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise Math.pow(x, y)
public	random(size: Array): Array Create an Array of random numbers
public	reciprocal(): *
public	rep(s: Array, v: Array): Array Create an Array by duplicating values
public	round(m: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise Math.round(x)
public	rrshift(m1: Number \| Array \| Complex \| Sparse, m2: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise rrshift
public	rshift(m1: Number \| Array \| Complex \| Sparse, m2: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise rshift
public	same(x: Array, y: Array): Boolean `x and y are entrywise identical`
public	setBlock(x: Array, from: Array, to: Array, B: Array): Array Set a block of a matrix
public	sin(m: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise Math.sin(x)
public	spPointwise(fun: Function): Function Create pointwise function for sparse matrix operating on none zero arguments
public	spPointwise2(fun: ):
public	sqrt(m: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise Math.sqrt(x)
public	sub(m1: Number \| Array \| Complex \| Sparse, m2: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise sub
public	sup(x: , s: , k: ):
public	tan(m: Number \| Array \| Complex \| Sparse): Number \| Array \| Complex \| Sparse Pointwise Math.tan(x)
public	tensor(x: Array \| Number, y: Array \| Number): Array \| Number Tensor product ret[i][j] = x[i]*y[j]
public	transpose(x: Array): Array Matrix transpose